Extracting semantic structure of web documents using content and visual information

14th International World Wide Web Conference, WWW2005

Volumn , Issue , 2005, Pages 928-929

  Mehta, Rupesh R ^a   Mitra, Pabitra ^a   Karnick, Harish ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

DOM; Naive Bayes classifier; Page segmentation; Topic hierarchy; VIPS

Indexed keywords

CONTENT INFORMATION; INFORMATION EXTRACTION; LEAF SEGMENTS; NAIVE BAYES CLASSIFIERS; PAGE SEGMENTATION; PAGE SEGMENTATION ALGORITHMS; SEMANTIC STRUCTURES; TOPIC HIERARCHY; VISUAL INFORMATION; WEB APPLICATION; WEB DOCUMENT; WEB PAGE; WEB PAGE ADAPTATION;

ALGORITHMS; BIOLOGICAL MATERIALS; CLASSIFIERS; CONTENT BASED RETRIEVAL; INFORMATION USE; SEMANTICS; TREES (MATHEMATICS); VISUAL COMMUNICATION; WEBSITES;

SEMANTIC WEB;

EID: 44349160707     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1062745.1062802     Document Type: Conference Paper

References (4)

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2. J.-R. W. D. Cai, S. Yu and W.-Y. Ma. Extracting content structure for web pages based on visual representation. In Proc. 5th Asia Pacific Web Conf, Xi'an, China, 2003.
3. T. Mitchell. Machine Learning. McGraw-Hill, NY, 1997.
4. Open directory project. http://dmoz.org/.